Advances in Image And Video Segmentation by Yu-jin Zhang

By Yu-jin Zhang

Photo and video segmentation is among the most important initiatives of snapshot and video research: extracting info from a picture or a series of pictures. within the final forty years, this box has skilled major progress and improvement, and has ended in a digital explosion of released details. Advances in picture and Video Segmentation brings jointly the most recent effects from researchers interested by cutting-edge paintings in photograph and video segmentation, supplying a set of recent works made via greater than 50 specialists worldwide.

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Is prohibited. Optimal Image Segmentation Methods Based on Energy Minimization 41 domain. As we will see later, the effectiveness of this reward depends on its departure from the uniform distribution. Once the cost function is defined in Equations 53-55 its maximization is addressed by the Bayesian A* algorithm (Coughlan & Yuille, 1999). Given an initial junction center ( xc0 , yc0 ) and an orientation φ 0, the algorithm explores a tree in which each segment pj may expand Q successors. Although there are QN paths for path lengths of N = L, the Bayesian A* exploits the fact that we want to detect one target path against clutter, instead of taking the best choice from a population of paths.

Results for “A” template. Note that the template is rotation-invariant. If the graph is a tree, then bi (qi) is guaranteed to be equal to the true marginal P (q i | D ) when update equations have converged to a fixed point. It is convenient to introduce two-node marginal probabilities. Their corresponding two-node beliefs can be obtained analogously to the equation for one-node belief by (see Figure 8. Right image): bij (q i , q j ) = 1 ψ ij (q i , q j )ψ i (q i )ψ j (q i ) ∏ mki (q i ) ∏ mlj (q j ) Z k∈ N ( i ) ~ j l∈N ( j ) ~ i (44) The computational cost of a message update is | S |2.

Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. 44 Escolano & Lozano to show the details of how the optimization techniques are formally built. We have chosen some representative cases in the literature. Sometimes the algorithms presented here are not suitable for practical implementations working in real time, for instance, in a mobile robot. However, from a methodological point of view, it is very interesting to show how to formalize the problems and find acceptable solutions to them.

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